Senior CPU Performance Architect

Google LLC

Portland, OR

JOB DETAILS
SKILLS
ARM (Advanced RISC Machine), Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Benchmarking, Bug Tracking/Defect Management, CPU (Central Processing Unit), Cloud Computing, Computer Architecture, Computer Engineering, Computer Science, Consulting, Design Verification, Electrical Engineering, Engineering Management, English Language, Equal Employment Opportunity (EEO), Field Sales, French Language, Genetics, Linux Drivers, Mechanical Engineering, Microprocessor Architecture, Network Operations Center, Operations Management, Patient Assessment, Performance Analysis, Performance Modeling, Program Planning, Project/Program Management, RISC Processors, RTL Design, Recruiting/Staffing Agency, Regulatory Requirements, Sales, Sales Management, Security Architecture, Software Engineering, Startup, System Architecture, Technical Leadership, Technical Support, x86 Processors
LOCATION
Portland, OR
POSTED
18 days ago

Senior CPU Performance Architect - Google Careers

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Senior CPU Performance Architect

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corporate_fareGoogleplaceMountain View, CA, USA; Austin, TX, USA; +3 more; +2 more

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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Austin, TX, USA; Portland, OR, USA; Poughkeepsie, NY, USA.

Minimum qualifications:

  • Bachelor"s degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
  • 8 years of experience with micro-processor architecture, micro-architecture, performance, and design.
  • Experience with performance modeling, analysis, correlation, and workload characterization and experience with CPU architecture (e.g., CPU block).

Preferred qualifications:

  • Master"s degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science with an emphasis on computer architecture.
  • 5 years of experience in CPU micro-architecture exploration and development.
  • Knowledge of processor instruction set architecture (e.g., ARM, RISC-V, x86).
  • Knowledge of system software components, such as Linux, drivers, and runtime.

About the job

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google"s direct-to-consumer products. You"ll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

Google"s mission is to organize the world"s information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user"s interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people"s lives better through technology.

The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Plan and evaluate ARM's architecture features from both architecture and performance aspects.
  • Develop a performance model for performance analysis and microarchitecture studies.
  • Lead collaboration with design and verification teams to develop efficient CPU implementation.
  • Define and write CPU subsystem architecture specifications.
  • Drive performance correlation between the performance model and RTL implementation, including micro-benchmark development and pre-silicon and post-silicon performance bug triage.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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